Main
Archana Ramamoorthy
I have done many projects using R, Python, and SQL. I have also created my own GitHub Page.
I am currently searching for a data science position that allows me to perform data visualization and ML to help people explore and deeply understand their data.
Education
It’s always a good time to learn and share new knowledge.
M.S. Candidate, Program Evaluation and Data Analytics
Arizona State University
Tempe, AZ
2021 - 2020
- Learning R programming and Regression and Big Data
- Graduate Student
B.S., Psychology
University of California San Diego
La Jolla, CA
2018 - 2012
- Took many science and psychology classes to deepen my knowledge of the world
Research Experience
Data Science Researcher
Data Science Lab
Johns Hopkins University
2018 - 2017
- Building R Shiny applications in the contexts of wearables and statistics education.
- Work primarily done in R Shiny and Javascript (node and d3js).
Industry Experience
I have been a student for most of my life and I love it. When I become a data scientist, I hope to help many people gain deeper insights about their data.
Data Journalist - Graphics Department
New York Times
New York, New York
2016
- Reporter with the graphics desk covering topics in science, politics, and sport.
- Work primarily done in R, Javascript, and Adobe Illustrator.
Data Science Intern
Dealer.com
Burlington, VT
2015
- Worked with the product analytics team to help parse and visualize large stores of data to drive business decisions.
Teaching Experience
I love to teach. I believe that no topic is too complex if the teacher is willing to think of new creative ways of approaching tasks.
Data Visualization Best Practices
DataCamp
N/A
2019
- Designed from bottom up course to teach best practices for scientific visualizations.
- Uses R and ggplot2.
- In top 10% on platform by popularity.
Improving your visualization in Python
DataCamp
N/A
2019
- Designed from bottom up course to teach advanced methods for enhancing visualization.
- Uses python, matplotlib, and seaborn.
Advanced Statistical Learning and Inference
Vanderbilt Biostatistics Department
Nashville, TN
2018 - 2017
- TA and lectured
- Topics covered from penalized regression to boosted trees and neural networks
- Highest level course offered in department
Advanced Statistical Computing
Vanderbilt Biostatistics Department
Nashville, TN
2018
- TA and lectured
- Covered modern statistical computing algorithms
- 4th year PhD level class
Statistical Computing in R
Vanderbilt Biostatistics Department
Nashville, TN
2017
- TA and lectured
- Covered introduction to R language for statistics applications
- Graduate level class
Selected Data Science Writing
I also enjoy artistic activities, like sketching and calligraphy.
Using AWK and R to Parse 25tb
LiveFreeOrDichotomize.com
N/A
2019
- Story of parsing large amounts of genomics data.
- Provided advice for dealing with data much larger than disk.
- Reached top of HackerNews.
The United States of Seasons
LiveFreeOrDichotomize.com
N/A
2018
- GIS analysis of weather data to find the most ‘seasonal’ locations in United States
- Used Bayesian regression methods for smoothing sparse geospatial data.
A year as told by fitbit
LiveFreeOrDichotomize.com
N/A
2017
- Analyzing a full years worth of second-level heart rate data from wearable device.
- Demonstrated visualization-based inference for large data.
The Traveling Metallurgist
LiveFreeOrDichotomize.com
N/A
2017
- Pure javascript implementation of traveling salesman solution using simulated annealing.
- Allows reader to customize the number and location of cities to attempt to trick the algorithm.
Selected Press (About)
Great paper? Swipe right on the new ‘Tinder for preprints’ app
Science
N/A
2017
- Story of the app Papr made with Jeff Leek and Lucy D’Agostino McGowan.
Selected Press (By)
The Great Student Migration
The New York Times
N/A
2016
- Most shared and discussed article from the New York Times for August 2016.
Wildfires are Getting Worse, The New York Times
The New York Times
N/A
2016
- GIS analysis and modeling of fire patterns and trends
- Data in collaboration with NASA and USGS
Selected Publications, Posters, and Talks
Charge Reductions Associated with Shortening Time to Recovery in Septic Shock
Chest
N/A
2019
- Authored with Wesley H. Self, MD MPH; Dandan Liu, PhD; Stephan Russ, MD, MPH; Michael J. Ward, MD, PhD, MBA; Nathan I. Shapiro, MD, MPH; Todd W. Rice, MD, MSc; Matthew W. Semler, MD, MSc.
Patient-specific risk factors independently influence survival in Myelodysplastic Syndromes in an unbiased review of EHR records
Under-Review (copy available upon request.)
N/A
2019
- Bayesian network analysis used to find novel subgroups of patients with Myelodysplastic Syndromes (MDS).
- Analysis done using method built for my dissertation.
An Agent Based Model of Mysis Migration
International Association of Great Lakes Research Conference
N/A
2015
- Authored with Brian O’Malley, Sture Hansson, and Jason Stockwell.